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Fresh install of both ollama and ragbuilder, running on macOS Sonoma 14.6.1.
Ran `ollama pull mistral` beforehand. I then start ragbuilder, configure everything to use ollama mistral, and it immediat…
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**Bug1**
In domain_reduction.py, line 105-108:
` for i, entry in enumerate(new_bounds): `
` if entry[0] > entry[1]:`
` new_bounds[i, 0] = entry[1]`
` …
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LightGBM version 4.0.0
The objective='regression' trains to predict the mean representation of the data. And i am interested to train to predict median representation of the actual values. Infact,…
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I've seen your docs on visualization, and everything is explained with 1D function.
However,
in the program description you shown the visualization of a 2D function.
My question is:
How to implem…
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I am running `ragbuilder` on MacOS 14.6.1, built from the Docker image and run as a container. I have followed the 'Getting started' example using the provided blogpost and also a small set of selecte…
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I am using the following versions of the dependencies:
scipy==1.6.2,
scikit-learn==1.4.1.post1,
numpy==1.22.4,
colorama==0.4.6,
on the latest version of BayesianOptimization (1.4.3). The script…
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I'm new to this package, and I'm confused on how `suggest` method generates the next best guess. It seems like `suggest` should find the argmax of an acquisition function and return it as the next gue…
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/kind bug
**What steps did you take and what happened:**
[A clear and concise description of what the bug is.]
i follow this [guide](https://www.kubeflow.org/docs/components/katib/trial-template/…
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```constraint``` and ```allow_duplicate_points``` can't be used at the same time.
I want to optimize a 4-D function f(x,y,z,k) with constraint z
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I want to use this program to find the max of black_box_function:
```
def black_box_function(x):
return x**2
new_optimizer = BayesianOptimization(
f=black_box_function,
pbounds={"…